Higher-dimensional automata modeling shared-variable systems
arXiv:1801.08451 · doi:10.23638/LMCS-15(3:28)2019
Abstract
The purpose of this paper is to provide a construction to model shared-variable systems using higher-dimensional automata which is compositional in the sense that the parallel composition of completely independent systems is modeled by the standard tensor product of HDAs and nondeterministic choice is represented by the coproduct.